APNE | Enhancing Network Embedding with Auxiliary Information | Recommender System library

by lemmonation C Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | APNE Summary

APNE is a C library typically used in Artificial Intelligence, Recommender System applications. APNE has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This project contains code related to the paper "Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective". APNE (Auxiliary information Preserved Netork Embedding) is a graph/network embedding method that can incorporate the structure information, content information and label information simultaneously in an unsupervised manner, i.e., without leveraging downstream classifiers. APNE outperforms unsupervised baselines from 10.1% to 34.4% on the node classification task. Details can be accessed here.

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Support

APNE has a low active ecosystem.

It has 22 star(s) with 10 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

APNE has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of APNE is current.

Quality

APNE has 0 bugs and 0 code smells.

Security

APNE has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

APNE code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

APNE is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

APNE releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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APNE Key Features

No Key Features are available at this moment for APNE.

APNE Examples and Code Snippets

No Code Snippets are available at this moment for APNE.

Community Discussions

Trending Discussions on APNE

Python 1D CNN model - Error in model.fit()

Python 1D CNN model - Error in train_test_split

QUESTION

Python 1D CNN model - Error in model.fit()

Asked 2020-May-08 at 14:13

I'm trying to build a 1D CNN model by processing ECG signals to diagnose sleep apnea.

I am using the sklearn library and encountered an error in train_test_split. Here is my code:

...

ANSWER

Answered 2020-May-08 at 13:06

I think that n_timesteps and n_features should be shape[1] and shape[2], the first dimension is your number of samples

Source https://stackoverflow.com/questions/61679718

QUESTION

Python 1D CNN model - Error in train_test_split

Asked 2020-May-08 at 11:46

I'm trying to build a 1D CNN model by processing ECG signals to diagnose sleep apnea.

I am using the sklearn library and encountered an error in train_test_split. Here is my code:

...

ANSWER

Answered 2020-May-08 at 11:32

Probably sklearn understands your data as 1xN matrix and thinks of it as 1 sample with N features. So you need to transpose it and get Nx1.

That is a typical situation for sklearn functions, not only train_split, but fit-transform.

Source https://stackoverflow.com/questions/61678074

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install APNE

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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